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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Procedia of Social Sciences and Humanities
Novi Nur Aini, Novi Nur
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Spatio Temporal Modelling for Government Policy the COVID-19 Pandemic in East Java Iriany, Atiek; Aini, Novi Nur; Sulistyono, Agus Dwi
CAUCHY Vol 6, No 4 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v6i4.10639

Abstract

COVID-19 has cursorily spread globally. Just in four months, its status altered into a pandemic. In Indonesia, the virus epicenter is identified in Java. The first positive case was identified in West Java and later spread in all Java. The Large-scale Social Restrictions are seemingly inefficient as the SARS-CoV-2 transmission remains. As such, the government is struggling to find anticipatory policies and steps best to mitigate the transmission. In this particular article, we used a Spatio-temporal model method for the total COVID-19 cases in Java and forecasted the total cases for the next 14 days, allowing the stakeholders to make more effective policies. The data we were using were the daily data of the cumulative number of COVID-19 cases taken from www.covid19.go.id. Data modelling was conducted using a generalized spatio-temporal autoregressive model. The model acquired to model the COVID-19 cases in Java was the GSTAR(1)(1,0,0) model.
The Role of Instagram in Promoting Online Fashion at Vshopsidoarjo Aini, Novi Nur; Hariyanto, Didik
Procedia of Social Sciences and Humanities Vol. 7 (2024): International Conference On Emerging New Media and Social Science
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v7i1.597

Abstract

This research examines the marketing communication strategy carried out by @Vshopsidoarjo via the Instagram platform, with a focus on the use of interactive features such as Instagram Stories. Based on the 4P marketing mix theory (product, price, promotion, place), this research explores how @Vshopsidoarjo utilizes social media to increase product marketing effectiveness, set competitive prices, expand market reach, and build closer relationships with consumers through interactive promotions . The research results show that this digital marketing strategy is successful in creating higher engagement with customers and increasing brand loyalty. The use of visual content and direct interaction through Instagram Stories has proven effective in building brand awareness and encouraging purchasing action. Overall, the use of social media as part of the marketing mix has had a positive impact on @Vshopsidoarjo's business growth.
COMPARISON OF RANDOM FOREST AND NAÏVE BAYES METHODS FOR CLASSIFYING AND FORECASTING SOIL TEXTURE IN THE AREA AROUND DAS KALIKONTO, EAST JAVA Pramoedyo, Henny; Ariyanto, Danang; Aini, Novi Nur
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.915 KB) | DOI: 10.30598/barekengvol16iss4pp1411-1422

Abstract

Soil texture is used to determine airflow, heat, instability, water holding capacity, and the shape and structure of the soil structure. Soil texture as an important attribute that determines the direction of soil management must be modeled accurately. However, soil texture is a soil attribute that is quite difficult to model. It is a compositional data set that describes the particle size of the soil mineral fraction (sand, silt, and clay). The methods used to classification and predict soil texture with machine learning algorithms are Random Forest (RF) and Naïve Bayes (NB). The purpose of this study was to classify the distribution of soil texture using the Random Forest and Naïve Bayes methods to obtain the most accurate grouping results. This research was conducted in the area around Kalikonto River Basin, East Java Province. The performance-based tests show that the RF algorithm provides higher accuracy in predicting soil texture based on the Digital Elevation Model (DEM). The results of RF’s performance testing on training data and testing data gave an accuracy value of 92.55% and 87.5%. Classification using the Naïve Bayes method produces an accuracy value of 89.98% on testing data and 80.65% accuracy on training data.
The Role of Instagram in Promoting Online Fashion at Vshopsidoarjo Aini, Novi Nur; Hariyanto, Didik
Procedia of Social Sciences and Humanities Vol. 7 (2024): International Conference On Emerging New Media and Social Science
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v7i1.597

Abstract

This research examines the marketing communication strategy carried out by @Vshopsidoarjo via the Instagram platform, with a focus on the use of interactive features such as Instagram Stories. Based on the 4P marketing mix theory (product, price, promotion, place), this research explores how @Vshopsidoarjo utilizes social media to increase product marketing effectiveness, set competitive prices, expand market reach, and build closer relationships with consumers through interactive promotions . The research results show that this digital marketing strategy is successful in creating higher engagement with customers and increasing brand loyalty. The use of visual content and direct interaction through Instagram Stories has proven effective in building brand awareness and encouraging purchasing action. Overall, the use of social media as part of the marketing mix has had a positive impact on @Vshopsidoarjo's business growth.
Co-Authors Agus Dwi Sulistyono, Agus Dwi Atiek Iriany Danang Ariyanto Didik Hariyanto Didik Hariyanto Henny Pramoedyo